Open AccessTranslation of Brain Activity Patterns of a user into Commands using Electroencephalography (EEG)
Author(s) -
Ranjana B. Jadekar,
A. R. Sindhu,
M. Tejo Vinay
Publication year - 2021
Publication title -
asian journal of research in computer science
Language(s) - English
Resource type - Journals
ISSN - 2581-8260
DOI - 10.9734/ajrcos/2021/v10i230240
Subject(s) - brain–computer interface , electroencephalography , computer science , brain activity and meditation , interface (matter) , electrophysiology , human–computer interaction , neuroscience , psychology , bubble , maximum bubble pressure method , parallel computing
Brain-Computer Interfaces (BCI) are systems that can translate the brain activity patterns of a user into messages or commands for an interactive application. The brain activity which is processed by the BCI systems is usually measured using Electroencephalography (EEG). The BCI system uses oscillatory Electroencephalography (EEG) signals, recorded using specific mental activity, as input and provides a control option by its output. A brain-computer interface uses electrophysiological signals to control the remote devices. They consist of electrodes applied to the scalp of an individual or worn in an electrode cap. The computer processes the EEG signals and uses it in order to accomplish tasks such as communication and environmental control.